Join a leading data and integration consulting firm delivering cloud-based solutions for a range of high-profile clients. The company prides itself on a collaborative culture, flexible working environment, and opportunities to develop advanced technical skills. This role is highly hands-on and consulting-focused, combining data engineering expertise with client engagement and mentoring responsibilities. Responsibilities Lead the delivery of data engineering projects, ensuring high-quality outcomes and adherence to best practices. Build and maintain data pipelines, transformations, and integrations across data lakes, lakehouses, and warehouses. Apply data modelling principles (star and snowflake schemas) to support analytics and AI/ML workloads. Mentor and review work of junior and intermediate team members to maintain technical standards. Collaborate with architects on solution design, including cloud-native and modern engineering patterns. Implement and maintain DevOps practices, including version control, CI/CD pipelines, and automated testing. Lead testing, validation, and quality assurance of data solutions. Serve as the primary technical contact for clients, participating in scoping, estimation, and requirements discussions. Contribute to continuous improvement of internal processes, templates, and team knowledge sharing. The requirements 6 years in data engineering or a related field, with 4 years hands-on in Databricks (Delta Live Tables, notebooks, workflows). Strong proficiency in Python and SQL for data transformation and analysis. Experience with cloud-based data solutions, DevOps practices, and well-architected scalable pipelines. Familiarity with data modelling (star/snowflake), Medallion architecture, and testing/data quality frameworks. Knowledge of Microsoft Fabric or similar cloud components a plus. Experience with data visualisation tools (Power BI or equivalent). Excellent communication, problem-solving, and consulting skills. Self-motivated, results-driven, adaptable, and able to manage multiple priorities.
